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Simbe Robotics

Autonomous retail robots for inventory management

Staff/Senior Analytics Engineer - Data Science & Analytics

Data EngineeringUpdated on Nov 13
Full-timeSan Francisco Bay Area, CA, USA$130k - $165k /yrIn-person

About the Job

Requirements

  • At least five years of experience in analytics engineering or a closely related role, including demonstrable delivery of production features.
  • Experience using dbt for data transformation and Kimball dimensional modeling, including writing models, tests, and documentation in a production analytics engineering workflow.
  • Strong SQL skills and experience with large-scale cloud data platforms; Google Cloud Platform and BigQuery are preferred.
  • Experience owning the full lifecycle of analytics features, from scoping and building through shipping and maintenance.
  • Ability to work cross-functionally with Engineering, Product, or Commercial teams, communicate tradeoffs, and drive alignment.
  • Hands-on experience using AI tools, including large language model APIs, coding assistants, and prompt engineering, to accelerate analytical work.

Responsibilities

  • Own production analytics pipelines end-to-end by designing, building, and maintaining reliable systems, including monitoring, alerting, and iterative improvement.
  • Scope and deliver features by shaping raw data into analytical models using Kimball dimensional modeling with dbt.
  • Identify blockers, align stakeholders across teams, and advance cross-functional projects with minimal oversight.
  • Use large language models, agents, and other AI-assisted workflows to improve the speed and quality of analysis and development.
  • Connect store-level signals, including inventory, on-shelf availability, and task execution, to business outcomes for internal teams and retail clients.
  • Establish best practices for reproducibility, documentation, and code quality across the team's data science and analytics work.

Desired Qualifications

  • Retail industry experience, such as experience with store operations, inventory, merchandising, or supply chain.
  • Design and prototype AI agent or chatbot interfaces that let internal or external users query and explore retail data using natural language.
  • Familiarity with pipeline orchestration tools such as Airflow, model monitoring, and continuous integration and continuous delivery for analytical workflows.
  • Experience with data visualization tools such as Looker or Tableau to communicate findings to non-technical stakeholders.

About the Company

Simbe Robotics

Autonomous retail robots for inventory management

Simbe Robotics builds autonomous robots for retail stores to improve inventory management and store operations. Its flagship robot, Tally, uses sensors to move through store aisles, detect out-of-stock items, and verify that products are correctly shelved and priced. While collecting data across the store, Simbe processes this information in a backend system to produce actionable insights that help retailers cut losses, optimize shelf space, and boost customer satisfaction. The company generates revenue by selling or leasing robots and offering data analytics services to retailers. What sets Simbe apart is its end-to-end, in-store automation plus analytics tailored to retail needs, combining physical robot performance with data-driven recommendations to reduce manual labor and improve store efficiency. The main goal is to help retailers operate more efficiently, cut costs, and provide better shopping experiences for customers.

Company size
51-200
Company stage
Series C
Total funding
$104M
Headquarters
South San Francisco, CA
Founded
2014

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